GetEnsemble: Produce consensus matrix

In mkarikom/RSoptSC: Low-Rank Factorization for Subspace-clustering

Produce consensus matrix

Description

Produce a truncated ensemble consensus matrix.

Usage

GetEnsemble(data, tol, n_comp = 3, tau, range = 2:20)

Arguments

data	a symmetric nonnegative similarity matrix
tol	cutoff for lambda zero
n_comp	the number of similarity components to use for ensemble clustering
tau	the drop tolerance, controlling the sparsification (uncoupling) of the consensus matrix
range	a vector specifying the min and max number of clusters to iteratively test when building the consensus matrix

Value

a truncated ensemble consensus matrix

mkarikom/RSoptSC documentation built on May 10, 2023, 1:10 a.m.